Distributed iterative learning control for prosumer-based microgrid models in a multiplex control framework using sampling-based analysis:
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
Berlin
Technische Universität Berlin
2023
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| Subjects: | |
| Online Access: | 11303/20533 Volltext Volltext Volltext |
| Physical Description: | xxv, 159 Seiten Illustrationen, Diagramme |
| DOI: | 10.14279/depositonce-19331 |
Staff View
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Record in the Search Index
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| spelling | Strenge, Lia Verfasser (DE-588)1322100365 aut Distributed iterative learning control for prosumer-based microgrid models in a multiplex control framework using sampling-based analysis vorgelegt von M. Sc. Lia Strenge Berlin Technische Universität Berlin 2023 xxv, 159 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation Technische Universität Berlin 2023 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Intelligentes Stromnetz (DE-588)7708028-2 gnd rswk-swf Erneuerbare Energien (DE-588)4068598-6 gnd rswk-swf Versorgungssicherheit (DE-588)7839944-0 gnd rswk-swf Lastverteilung Energietechnik (DE-588)4166843-1 gnd rswk-swf Dezentrale Elektrizitätserzeugung (DE-588)7656449-6 gnd rswk-swf Microgrid Energietechnik (DE-588)1121110479 gnd rswk-swf Netzstabilität Elektrische Energietechnik (DE-588)4415875-0 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Microgrid Energietechnik (DE-588)1121110479 s Erneuerbare Energien (DE-588)4068598-6 s Intelligentes Stromnetz (DE-588)7708028-2 s Dezentrale Elektrizitätserzeugung (DE-588)7656449-6 s Versorgungssicherheit (DE-588)7839944-0 s Netzstabilität Elektrische Energietechnik (DE-588)4415875-0 s Lastverteilung Energietechnik (DE-588)4166843-1 s DE-604 Erscheint auch als Online-Ausgabe 10.14279/depositonce-19331 (DE-604)BV049504264 11303/20533 https://doi.org/10.14279/depositonce-19331 Resolving-System kostenfrei Volltext https://hdl.handle.net/11303/20533 Resolving-System kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:101:1-2023122000572301824171 Resolving-System kostenfrei Volltext 1\p emakn 0,32849 20231220 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,57659 20231220 DE-101 https://d-nb.info/provenance/plan#emasg |
| spellingShingle | Strenge, Lia Distributed iterative learning control for prosumer-based microgrid models in a multiplex control framework using sampling-based analysis Intelligentes Stromnetz (DE-588)7708028-2 gnd Erneuerbare Energien (DE-588)4068598-6 gnd Versorgungssicherheit (DE-588)7839944-0 gnd Lastverteilung Energietechnik (DE-588)4166843-1 gnd Dezentrale Elektrizitätserzeugung (DE-588)7656449-6 gnd Microgrid Energietechnik (DE-588)1121110479 gnd Netzstabilität Elektrische Energietechnik (DE-588)4415875-0 gnd |
| subject_GND | (DE-588)7708028-2 (DE-588)4068598-6 (DE-588)7839944-0 (DE-588)4166843-1 (DE-588)7656449-6 (DE-588)1121110479 (DE-588)4415875-0 (DE-588)4113937-9 |
| title | Distributed iterative learning control for prosumer-based microgrid models in a multiplex control framework using sampling-based analysis |
| title_auth | Distributed iterative learning control for prosumer-based microgrid models in a multiplex control framework using sampling-based analysis |
| title_exact_search | Distributed iterative learning control for prosumer-based microgrid models in a multiplex control framework using sampling-based analysis |
| title_exact_search_txtP | Distributed iterative learning control for prosumer-based microgrid models in a multiplex control framework using sampling-based analysis |
| title_full | Distributed iterative learning control for prosumer-based microgrid models in a multiplex control framework using sampling-based analysis vorgelegt von M. Sc. Lia Strenge |
| title_fullStr | Distributed iterative learning control for prosumer-based microgrid models in a multiplex control framework using sampling-based analysis vorgelegt von M. Sc. Lia Strenge |
| title_full_unstemmed | Distributed iterative learning control for prosumer-based microgrid models in a multiplex control framework using sampling-based analysis vorgelegt von M. Sc. Lia Strenge |
| title_short | Distributed iterative learning control for prosumer-based microgrid models in a multiplex control framework using sampling-based analysis |
| title_sort | distributed iterative learning control for prosumer based microgrid models in a multiplex control framework using sampling based analysis |
| topic | Intelligentes Stromnetz (DE-588)7708028-2 gnd Erneuerbare Energien (DE-588)4068598-6 gnd Versorgungssicherheit (DE-588)7839944-0 gnd Lastverteilung Energietechnik (DE-588)4166843-1 gnd Dezentrale Elektrizitätserzeugung (DE-588)7656449-6 gnd Microgrid Energietechnik (DE-588)1121110479 gnd Netzstabilität Elektrische Energietechnik (DE-588)4415875-0 gnd |
| topic_facet | Intelligentes Stromnetz Erneuerbare Energien Versorgungssicherheit Lastverteilung Energietechnik Dezentrale Elektrizitätserzeugung Microgrid Energietechnik Netzstabilität Elektrische Energietechnik Hochschulschrift |
| url | 11303/20533 https://doi.org/10.14279/depositonce-19331 https://hdl.handle.net/11303/20533 https://nbn-resolving.org/urn:nbn:de:101:1-2023122000572301824171 |
| work_keys_str_mv | AT strengelia distributediterativelearningcontrolforprosumerbasedmicrogridmodelsinamultiplexcontrolframeworkusingsamplingbasedanalysis |